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Senior AI Engineer designing, building, and operating production-grade Generative AI solutions on the Microsoft Azure AI ecosystem—from model selection and RAG architecture through deployment, MLOps, security, and governance.
Build and own core AI infrastructure—model-serving pipelines, inference layers, data pipelines, and APIs/microservices—connecting GenAI, CV, and ML models to enterprise environments using TypeScript/Node.js on cloud infrastructure.
Backend AI Engineer designing and owning core AI infrastructure—model-serving pipelines, inference layers, data pipelines, and APIs/microservices—connecting GenAI, CV, and ML models to enterprise environments, primarily using TypeScript/Node.js.
Senior backend engineer building serverless microservices on AWS (Python/Rust/Java) for a broadcast/media content management and distribution platform, owning features from design through deployment.
Lead a small team of deep learning researchers in a mostly hands-on role, designing and implementing computer vision and 3D perception solutions (reconstruction, SLAM, photogrammetry) using PyTorch and Python for a construction intelligence platform.
The Full Stack Engineer will develop and support a large-scale document digitization platform, working on web and desktop applications, hardware integration, and AI-driven OCR and computer vision services.
Capgemini is seeking a Full Stack Engineer to build and maintain a large-scale document digitization platform. The role involves developing web and desktop applications, integrating hardware and AI/OCR services, and optimizing scalable processing pipelines.
As a founding AI engineer, you will build and deploy computer vision and LLM-based systems to transform construction documents into actionable insights. You will own the end-to-end AI intelligence layer, working directly with users to prototype and ship production-grade models.
Build AI/ML solutions, computer vision apps, generative AI/LLM applications, Python backends, data pipelines, and dashboards, deploying across cloud and edge environments in Cikarang, Indonesia.
The AI Software & Data Engineer will design, train, and deploy end-to-end AI/ML solutions, including computer vision and generative AI models. The role involves managing the full lifecycle from data preparation and model development to backend API integration and deployment.
Full Stack + AI Engineer role building end-to-end applications with LLM/AI integration, using Python/Go/Node.js backends, relational databases, and cloud platforms for an IT consulting and research firm in Bandung.
About the Role: Design and develop ML and CV algorithms for video and audio analytics. Work with motion detection, object detection, tracking, facial recognition, audio analytics and other CV/ML tasks. What You'll…
The Junior Back End Engineer will join the R&D team in Edinburgh to develop software, with a focus on learning new technologies like Go. The role involves designing and consuming REST APIs and requires a strong interest in software development.
Senior C++ engineer developing performance-critical, multi-threaded applications for X-ray image analysis and motion control on Windows, using C++, C#, and Python in an R&D team serving semiconductor manufacturers.
Intern developing and validating software for autonomous multi-UAV swarm systems, focusing on simulation tooling, observability dashboards, and the core robotics stack using C++ on Linux.
Lead AI strategy and data science initiatives at Emaratech, driving end-to-end ML projects from conception to deployment across predictive analytics, NLP, and computer vision.
Applied Data Scientist on Apple's Hardware Engineering DataViz team, transforming complex engineering data into visualizations and actionable insights across Apple products using statistics, machine learning, and data analysis.
Senior Software Engineer iOS & Android - Low Level Native Job Description This position is on-site in Budapest and requires EU residency and EU work visa. General Info We are building a computational imaging…
Designs and optimizes custom silicon for AI-enabled AR wearables, focusing on performance modeling and SoC architecture to blend real and virtual worlds.
The Silicon Power Architect will lead the development of custom silicon for Meta's AI-enabled wearable devices. The role focuses on low-power design, power estimation, and tool flow management to optimize performance across the entire hardware and software stack.
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